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            <h1 id="summary">Summary</h1>
<p>Date : 2024-10-05 09:38:57</p>
<p>Directory: /home/qtliu/why</p>
<p>Total: 121 files, 15406 unique code lines, 0 comments, 0 blanks, all 58841 lines (including duplicates)</p>
<h2 id="files">Files</h2>
<table>
<thead>
<tr>
<th>Filename</th>
<th style="text-align:right">Unique Code Lines</th>
<th style="text-align:right">Empty Lines</th>
<th style="text-align:right">Comment Lines</th>
<th style="text-align:right">Docstring Lines</th>
<th style="text-align:right">Total Lines</th>
</tr>
</thead>
<tbody>
<tr>
<td>/home/qtliu/why/neighbor_star_check.py</td>
<td style="text-align:right">1460</td>
<td style="text-align:right">721</td>
<td style="text-align:right">446</td>
<td style="text-align:right">0</td>
<td style="text-align:right">2627</td>
</tr>
<tr>
<td>/home/qtliu/why/test_constrativeLearning_sample.py</td>
<td style="text-align:right">837</td>
<td style="text-align:right">717</td>
<td style="text-align:right">359</td>
<td style="text-align:right">3</td>
<td style="text-align:right">1916</td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td style="text-align:right">660</td>
<td style="text-align:right">621</td>
<td style="text-align:right">251</td>
<td style="text-align:right">0</td>
<td style="text-align:right">1532</td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td style="text-align:right">581</td>
<td style="text-align:right">452</td>
<td style="text-align:right">192</td>
<td style="text-align:right">7</td>
<td style="text-align:right">1232</td>
</tr>
<tr>
<td>/home/qtliu/why/b.py</td>
<td style="text-align:right">546</td>
<td style="text-align:right">300</td>
<td style="text-align:right">274</td>
<td style="text-align:right">34</td>
<td style="text-align:right">1154</td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py</td>
<td style="text-align:right">446</td>
<td style="text-align:right">149</td>
<td style="text-align:right">123</td>
<td style="text-align:right">22</td>
<td style="text-align:right">740</td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py</td>
<td style="text-align:right">426</td>
<td style="text-align:right">447</td>
<td style="text-align:right">328</td>
<td style="text-align:right">58</td>
<td style="text-align:right">1259</td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py</td>
<td style="text-align:right">355</td>
<td style="text-align:right">198</td>
<td style="text-align:right">108</td>
<td style="text-align:right">0</td>
<td style="text-align:right">661</td>
</tr>
<tr>
<td>/home/qtliu/why/DetrendCode.py</td>
<td style="text-align:right">329</td>
<td style="text-align:right">180</td>
<td style="text-align:right">308</td>
<td style="text-align:right">44</td>
<td style="text-align:right">861</td>
</tr>
<tr>
<td>/home/qtliu/why/training.py</td>
<td style="text-align:right">325</td>
<td style="text-align:right">293</td>
<td style="text-align:right">232</td>
<td style="text-align:right">5</td>
<td style="text-align:right">855</td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py</td>
<td style="text-align:right">299</td>
<td style="text-align:right">181</td>
<td style="text-align:right">263</td>
<td style="text-align:right">22</td>
<td style="text-align:right">765</td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py</td>
<td style="text-align:right">282</td>
<td style="text-align:right">308</td>
<td style="text-align:right">339</td>
<td style="text-align:right">22</td>
<td style="text-align:right">951</td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py</td>
<td style="text-align:right">277</td>
<td style="text-align:right">209</td>
<td style="text-align:right">171</td>
<td style="text-align:right">22</td>
<td style="text-align:right">679</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td style="text-align:right">262</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
<td style="text-align:right">232</td>
<td style="text-align:right">1163</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py</td>
<td style="text-align:right">217</td>
<td style="text-align:right">346</td>
<td style="text-align:right">327</td>
<td style="text-align:right">233</td>
<td style="text-align:right">1123</td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py</td>
<td style="text-align:right">214</td>
<td style="text-align:right">49</td>
<td style="text-align:right">37</td>
<td style="text-align:right">44</td>
<td style="text-align:right">344</td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_ROC.py</td>
<td style="text-align:right">212</td>
<td style="text-align:right">113</td>
<td style="text-align:right">61</td>
<td style="text-align:right">22</td>
<td style="text-align:right">408</td>
</tr>
<tr>
<td>/home/qtliu/why/e.py</td>
<td style="text-align:right">211</td>
<td style="text-align:right">158</td>
<td style="text-align:right">117</td>
<td style="text-align:right">22</td>
<td style="text-align:right">508</td>
</tr>
<tr>
<td>/home/qtliu/why/candidate_red_sde_fap_relationship.py</td>
<td style="text-align:right">210</td>
<td style="text-align:right">203</td>
<td style="text-align:right">84</td>
<td style="text-align:right">16</td>
<td style="text-align:right">513</td>
</tr>
<tr>
<td>/home/qtliu/why/a.py</td>
<td style="text-align:right">209</td>
<td style="text-align:right">189</td>
<td style="text-align:right">99</td>
<td style="text-align:right">0</td>
<td style="text-align:right">497</td>
</tr>
<tr>
<td>/home/qtliu/why/explorer_tpf.py</td>
<td style="text-align:right">202</td>
<td style="text-align:right">193</td>
<td style="text-align:right">112</td>
<td style="text-align:right">0</td>
<td style="text-align:right">507</td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py</td>
<td style="text-align:right">199</td>
<td style="text-align:right">191</td>
<td style="text-align:right">117</td>
<td style="text-align:right">22</td>
<td style="text-align:right">529</td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py</td>
<td style="text-align:right">197</td>
<td style="text-align:right">128</td>
<td style="text-align:right">102</td>
<td style="text-align:right">8</td>
<td style="text-align:right">435</td>
</tr>
<tr>
<td>/home/qtliu/why/ValidatesimulatedLC.py</td>
<td style="text-align:right">196</td>
<td style="text-align:right">153</td>
<td style="text-align:right">78</td>
<td style="text-align:right">0</td>
<td style="text-align:right">427</td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py</td>
<td style="text-align:right">196</td>
<td style="text-align:right">137</td>
<td style="text-align:right">119</td>
<td style="text-align:right">57</td>
<td style="text-align:right">509</td>
</tr>
<tr>
<td>/home/qtliu/why/MCMC_OwnFit.py</td>
<td style="text-align:right">195</td>
<td style="text-align:right">100</td>
<td style="text-align:right">53</td>
<td style="text-align:right">0</td>
<td style="text-align:right">348</td>
</tr>
<tr>
<td>/home/qtliu/why/outside_apecture_check.py</td>
<td style="text-align:right">189</td>
<td style="text-align:right">157</td>
<td style="text-align:right">66</td>
<td style="text-align:right">0</td>
<td style="text-align:right">412</td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py</td>
<td style="text-align:right">182</td>
<td style="text-align:right">157</td>
<td style="text-align:right">154</td>
<td style="text-align:right">22</td>
<td style="text-align:right">515</td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py</td>
<td style="text-align:right">179</td>
<td style="text-align:right">143</td>
<td style="text-align:right">78</td>
<td style="text-align:right">4</td>
<td style="text-align:right">404</td>
</tr>
<tr>
<td>/home/qtliu/why/resnet50-cxin-first.py</td>
<td style="text-align:right">171</td>
<td style="text-align:right">74</td>
<td style="text-align:right">43</td>
<td style="text-align:right">0</td>
<td style="text-align:right">288</td>
</tr>
<tr>
<td>/home/qtliu/why/draw_net.py</td>
<td style="text-align:right">171</td>
<td style="text-align:right">45</td>
<td style="text-align:right">9</td>
<td style="text-align:right">25</td>
<td style="text-align:right">250</td>
</tr>
<tr>
<td>/home/qtliu/why/FitLCModel.py</td>
<td style="text-align:right">170</td>
<td style="text-align:right">105</td>
<td style="text-align:right">195</td>
<td style="text-align:right">14</td>
<td style="text-align:right">484</td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py</td>
<td style="text-align:right">168</td>
<td style="text-align:right">115</td>
<td style="text-align:right">102</td>
<td style="text-align:right">5</td>
<td style="text-align:right">390</td>
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<tr>
<td>/home/qtliu/why/training_byglobal.py</td>
<td style="text-align:right">166</td>
<td style="text-align:right">98</td>
<td style="text-align:right">72</td>
<td style="text-align:right">5</td>
<td style="text-align:right">341</td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py</td>
<td style="text-align:right">157</td>
<td style="text-align:right">109</td>
<td style="text-align:right">113</td>
<td style="text-align:right">45</td>
<td style="text-align:right">424</td>
</tr>
<tr>
<td>/home/qtliu/why/base_vet.py</td>
<td style="text-align:right">150</td>
<td style="text-align:right">105</td>
<td style="text-align:right">55</td>
<td style="text-align:right">0</td>
<td style="text-align:right">310</td>
</tr>
<tr>
<td>/home/qtliu/why/TestDifferentSNR.py</td>
<td style="text-align:right">150</td>
<td style="text-align:right">118</td>
<td style="text-align:right">71</td>
<td style="text-align:right">0</td>
<td style="text-align:right">339</td>
</tr>
<tr>
<td>/home/qtliu/why/c.py</td>
<td style="text-align:right">148</td>
<td style="text-align:right">61</td>
<td style="text-align:right">37</td>
<td style="text-align:right">12</td>
<td style="text-align:right">258</td>
</tr>
<tr>
<td>/home/qtliu/why/fap_function.py</td>
<td style="text-align:right">137</td>
<td style="text-align:right">109</td>
<td style="text-align:right">42</td>
<td style="text-align:right">0</td>
<td style="text-align:right">288</td>
</tr>
<tr>
<td>/home/qtliu/why/Split_trainingset.py</td>
<td style="text-align:right">137</td>
<td style="text-align:right">66</td>
<td style="text-align:right">33</td>
<td style="text-align:right">0</td>
<td style="text-align:right">236</td>
</tr>
<tr>
<td>/home/qtliu/why/con_can_by_gtls.py</td>
<td style="text-align:right">136</td>
<td style="text-align:right">120</td>
<td style="text-align:right">46</td>
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<tr>
<td>/home/qtliu/why/fap_baseline_comparision.py</td>
<td style="text-align:right">129</td>
<td style="text-align:right">113</td>
<td style="text-align:right">34</td>
<td style="text-align:right">0</td>
<td style="text-align:right">276</td>
</tr>
<tr>
<td>/home/qtliu/why/try_idea.py</td>
<td style="text-align:right">123</td>
<td style="text-align:right">99</td>
<td style="text-align:right">43</td>
<td style="text-align:right">6</td>
<td style="text-align:right">271</td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py</td>
<td style="text-align:right">122</td>
<td style="text-align:right">92</td>
<td style="text-align:right">139</td>
<td style="text-align:right">22</td>
<td style="text-align:right">375</td>
</tr>
<tr>
<td>/home/qtliu/why/pre_deal.py</td>
<td style="text-align:right">117</td>
<td style="text-align:right">110</td>
<td style="text-align:right">30</td>
<td style="text-align:right">0</td>
<td style="text-align:right">257</td>
</tr>
<tr>
<td>/home/qtliu/why/pipeline.py</td>
<td style="text-align:right">117</td>
<td style="text-align:right">166</td>
<td style="text-align:right">319</td>
<td style="text-align:right">188</td>
<td style="text-align:right">790</td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py</td>
<td style="text-align:right">117</td>
<td style="text-align:right">120</td>
<td style="text-align:right">96</td>
<td style="text-align:right">5</td>
<td style="text-align:right">338</td>
</tr>
<tr>
<td>/home/qtliu/why/function_config.py</td>
<td style="text-align:right">95</td>
<td style="text-align:right">158</td>
<td style="text-align:right">189</td>
<td style="text-align:right">345</td>
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</tr>
<tr>
<td>/home/qtliu/why/CalculateROC.py</td>
<td style="text-align:right">94</td>
<td style="text-align:right">27</td>
<td style="text-align:right">18</td>
<td style="text-align:right">0</td>
<td style="text-align:right">139</td>
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<tr>
<td>/home/qtliu/why/training_in_fold_data.py</td>
<td style="text-align:right">94</td>
<td style="text-align:right">66</td>
<td style="text-align:right">133</td>
<td style="text-align:right">4</td>
<td style="text-align:right">297</td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py</td>
<td style="text-align:right">94</td>
<td style="text-align:right">107</td>
<td style="text-align:right">62</td>
<td style="text-align:right">4</td>
<td style="text-align:right">267</td>
</tr>
<tr>
<td>/home/qtliu/why/Filter_exoplanet_inHZ_AllMission_limiton.py</td>
<td style="text-align:right">92</td>
<td style="text-align:right">57</td>
<td style="text-align:right">71</td>
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<td style="text-align:right">220</td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py</td>
<td style="text-align:right">89</td>
<td style="text-align:right">77</td>
<td style="text-align:right">72</td>
<td style="text-align:right">22</td>
<td style="text-align:right">260</td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py</td>
<td style="text-align:right">87</td>
<td style="text-align:right">576</td>
<td style="text-align:right">248</td>
<td style="text-align:right">0</td>
<td style="text-align:right">911</td>
</tr>
<tr>
<td>/home/qtliu/why/BaseLine_of_FAP.py</td>
<td style="text-align:right">86</td>
<td style="text-align:right">84</td>
<td style="text-align:right">52</td>
<td style="text-align:right">26</td>
<td style="text-align:right">248</td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCStarry.py</td>
<td style="text-align:right">85</td>
<td style="text-align:right">48</td>
<td style="text-align:right">37</td>
<td style="text-align:right">0</td>
<td style="text-align:right">170</td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py</td>
<td style="text-align:right">78</td>
<td style="text-align:right">73</td>
<td style="text-align:right">73</td>
<td style="text-align:right">22</td>
<td style="text-align:right">246</td>
</tr>
<tr>
<td>/home/qtliu/why/LightCurvepipeline.py</td>
<td style="text-align:right">75</td>
<td style="text-align:right">45</td>
<td style="text-align:right">52</td>
<td style="text-align:right">24</td>
<td style="text-align:right">196</td>
</tr>
<tr>
<td>/home/qtliu/why/FITLCbyGrid.py</td>
<td style="text-align:right">70</td>
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<td>/home/qtliu/why/Downloadexoplanet_LC.py</td>
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<td>/home/qtliu/why/Get_RealityLC_NetInputFormat.py</td>
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<td>/home/qtliu/why/DownloadData.py</td>
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<td>/home/qtliu/why/even_odd_transit_check.py</td>
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<td>/home/qtliu/why/vespa_check.py</td>
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<td>/home/qtliu/why/Search_Candidate_BYGTLS.py</td>
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<td>/home/qtliu/why/FilterLimbDarkening.py</td>
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<td>/home/qtliu/why/secondary_Eclipse_check.py</td>
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<td>/home/qtliu/why/PreProcessData.py</td>
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<td>/home/qtliu/why/Net_config.py</td>
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<tr>
<td>/home/qtliu/why/MCMC_FitPlanetStarParameters.py</td>
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<td>/home/qtliu/why/load_net.py</td>
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<td>/home/qtliu/why/ab.py</td>
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<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py</td>
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</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py</td>
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</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py</td>
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</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py</td>
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</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py</td>
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<td style="text-align:right">750</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
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</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
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<td style="text-align:right">901</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
<td style="text-align:right">232</td>
<td style="text-align:right">901</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">286</td>
<td style="text-align:right">246</td>
<td style="text-align:right">218</td>
<td style="text-align:right">750</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
<td style="text-align:right">232</td>
<td style="text-align:right">901</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
<td style="text-align:right">232</td>
<td style="text-align:right">901</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">286</td>
<td style="text-align:right">246</td>
<td style="text-align:right">218</td>
<td style="text-align:right">750</td>
</tr>
<tr>
<td>/home/qtliu/why/P2N_Ge.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">23</td>
<td style="text-align:right">15</td>
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<td style="text-align:right">38</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">286</td>
<td style="text-align:right">246</td>
<td style="text-align:right">218</td>
<td style="text-align:right">750</td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py</td>
<td style="text-align:right">0</td>
<td style="text-align:right">336</td>
<td style="text-align:right">333</td>
<td style="text-align:right">232</td>
<td style="text-align:right">901</td>
</tr>
</tbody>
</table>
<h2 id="duplicate-code-blocks-similarity--92">Duplicate Code Blocks (Similarity &gt;= 92%)</h2>
<table>
<thead>
<tr>
<th>Files (filename and similar file)</th>
<th>Origin Code Block</th>
<th>Similar Code Block</th>
<th style="text-align:right">Similarity</th>
</tr>
</thead>
<tbody>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/b.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_6.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DownloadData.py /home/qtliu/why/d.py</td>
<td><code>def downindex(kp_id):  kp_id = int(kp_id)  kp_id =...</code></td>
<td><code>def downindex(kp_id):  kp_id = int(kp_id)  kp_id =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_8.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/explorer_tpf.py /home/qtliu/why/neighbor_star_check.py</td>
<td><code>  from astropy.io import fits...</code></td>
<td><code>  from astropy.io import fits...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def gfit(x, y, cen_guess, sd_guess):  from lmfit.m...</code></td>
<td><code>def gfit(x, y, cen_guess, sd_guess):  from lmfit.m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def find_PDF_peak(data, debug_plots=False):  bincn...</code></td>
<td><code>def find_PDF_peak(data, debug_plots=False):  bincn...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def filter_mcmc_results(flat_samples0):  ndim = fl...</code></td>
<td><code>def filter_mcmc_results(flat_samples0):  ndim = fl...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def mk_new_fit(fv, real_labels):  p = fv[real_labe...</code></td>
<td><code>def mk_new_fit(fv, real_labels):  p = fv[real_labe...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def plot_fits(t0, p, fit, trace_lcs=None, plot_fol...</code></td>
<td><code>def plot_fits(t0, p, fit, trace_lcs=None, plot_fol...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def bkjd_to_datetime(bkjd):  from astropy.time imp...</code></td>
<td><code>def bkjd_to_datetime(bkjd):  from astropy.time imp...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCTransitFit.py /home/qtliu/why/MCMCTransitFit <a href="http://copy.py">copy.py</a></td>
<td><code>def batman_model(final_time, t0,p,rp, a, incl_deg,...</code></td>
<td><code>def batman_model(final_time, t0,p,rp, a, incl_deg,...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def get_rand_epochs(left_epoch=50000, right_epoch=...</code></td>
<td><code>def get_rand_epochs(left_epoch=50000, right_epoch=...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def get_timeSeries():  All_Points_Nums = get_rand_...</code></td>
<td><code>def get_timeSeries():  All_Points_Nums = get_rand_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def Generate_Noise(noiselevel, points, mu = 1):  i...</code></td>
<td><code>def Generate_Noise(noiselevel, points, mu = 1):  i...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def get_duration_range(period, min_fraction_durati...</code></td>
<td><code>def get_duration_range(period, min_fraction_durati...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/function_config.py</td>
<td><code>def sample_uniform_continuous(a, b):  检查文件夹是否存在，如果...</code></td>
<td><code>def sample_uniform_continuous(a, b):  检查文件夹是否存在，如果...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_7.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_2.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/ValidatesimulatedLC.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/ValidatesimulatedLC.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Net_config.py /home/qtliu/why/training.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Net_config.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Net_config.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold_only_globalview.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/pipeline.py /home/qtliu/why/function_config.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/pipeline.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def spline_fit(times, values, k=3):  import numpy ...</code></td>
<td><code>def spline_fit(times, values, k=3):  import numpy ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_9.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_4.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DownAllKeplerConfirmLC.py /home/qtliu/why/d.py</td>
<td><code>  website = &quot;https://archive.stsci.edu/pub/kepler/...</code></td>
<td><code>  website = &quot;https://archive.stsci.edu/pub/kepler/...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DownAllKeplerConfirmLC.py /home/qtliu/why/d.py</td>
<td><code>def downindex(kp_id):  kp_id = int(kp_id)  kp_id =...</code></td>
<td><code>def downindex(kp_id):  kp_id = int(kp_id)  kp_id =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Draw_18&amp;200Period_Figure.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Load_SuperContras(device='cuda:1'):  save_path...</code></td>
<td><code>def Load_SuperContras(device='cuda:0'):  save_path...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_possible_signal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateROC.py /home/qtliu/why/GenComparison.py</td>
<td><code>  from astropy.io import fits  import numpy as np...</code></td>
<td><code>  from astropy.io import fits  import numpy as np...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateROC.py /home/qtliu/why/test_constrativeLearning_sample.py</td>
<td><code>def read_from_fits(filename='output.fits'):  with ...</code></td>
<td><code>def read_from_fits(filename='output.fits'):  with ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateROC.py /home/qtliu/why/test_constrativeLearning_sample.py</td>
<td><code>def weighted_average(scores, window_size):  weight...</code></td>
<td><code>def weighted_average(scores, window_size):  weight...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateROC.py /home/qtliu/why/test_constrativeLearning_sample.py</td>
<td><code>def BLSAlgorithm(path):  scalar_data, time_origin,...</code></td>
<td><code>def BLSAlgorithm(path):  scalar_data, time_origin,...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __init__(self, root_dir):  self.file_paths = [...</code></td>
<td><code>def __init__(self, root_dir):  self.file_paths = [...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>class CombinedLoss(nn.Module):...</code></td>
<td><code>class CombinedLoss(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/c.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/c.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(mask, time, flux):  fit_...</code></td>
<td><code>def adjust_flux_with_mask(mask, time, flux):  fit_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def __init__(self):  super().__init__()  self.avgp...</code></td>
<td><code>def __init__(self):  super().__init__()  self.avgp...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def forward(self,x):  return self.line(self.flat(s...</code></td>
<td><code>def forward(self,x):  return self.line(self.flat(s...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_5.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>  from pipeline import *  n_samples = 10000  impor...</code></td>
<td><code>  from pipeline import *  n_samples = 10000  impor...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def gpu_fold(final_time, final_flux, p_left=18, p_...</code></td>
<td><code>def gpu_fold(final_time, final_flux, p_left=18, p_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def test_one_trail_period(real_all_period_fold_lc_...</code></td>
<td><code>def test_one_trail_period(real_all_period_fold_lc_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def test_senstival_points(data, model):  from matp...</code></td>
<td><code>def test_senstival_points(data, model):  from matp...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def load_net(device='cuda'):  model = ExtranetMode...</code></td>
<td><code>def load_net(device='cuda'):  model = ExtranetMode...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def scan_and_net_predict(data, model, segment_leng...</code></td>
<td><code>def scan_and_net_predict(data, model, segment_leng...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def phase_fold_kernel(observed_data, observed_time...</code></td>
<td><code>def phase_fold_kernel(observed_data, observed_time...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_Copy_3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/BaseLine_of_FAP.py /home/qtliu/why/fap_function.py</td>
<td><code>def save_pickle(fn, data):  pickle_out = open(fn, ...</code></td>
<td><code>def save_pickle(fn, data):  pickle_out = open(fn, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/BaseLine_of_FAP.py /home/qtliu/why/fap_function.py</td>
<td><code>def load_pickle(fn):  pickle_out = open(fn, 'rb') ...</code></td>
<td><code>def load_pickle(fn):  pickle_out = open(fn, 'rb') ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/try_generate.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/test_net_config.py</td>
<td><code>class FeatureExtractor(nn.Module):...</code></td>
<td><code>class FeatureExtractor(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/test_net_config.py</td>
<td><code>def forward(self, x):  x = self.fc_global(x)  x = ...</code></td>
<td><code>def forward(self, x):  x = self.fc_global(x)  x = ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/test_net_config.py</td>
<td><code>class SupConResNet(nn.Module):...</code></td>
<td><code>class SupConResNet(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_false_v3.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/function_config.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def calculate_bic(n, k, rss):  return n * np.log(r...</code></td>
<td><code>def calculate_bic(n, k, rss):  return n * np.log(r...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def spline_fit(times, values):  import numpy as np...</code></td>
<td><code>def spline_fit(times, values):  import numpy as np...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def remove_outliers_step2(flux, sigma_threshold=3)...</code></td>
<td><code>def remove_outliers_step2(flux, sigma_threshold=3)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/FitLCModel.py</td>
<td><code>def bkjd_to_datetime(bkjd):  from astropy.time imp...</code></td>
<td><code>def bkjd_to_datetime(bkjd):  from astropy.time imp...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def bin(data, binned_datapoints=8192):  bin_size =...</code></td>
<td><code>def bin(data, binned_datapoints=8192):  bin_size =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __init__(self, root_dir):  self.file_paths = [...</code></td>
<td><code>def __init__(self, root_dir):  self.file_paths = [...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Load_SuperContras(device='cuda:0'):  save_path...</code></td>
<td><code>def Load_SuperContras(device='cuda:0'):  save_path...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Cal_Exact_Duration(kp_id, possible_period, pos...</code></td>
<td><code>def Cal_Exact_Duration(kp_id, possible_period, pos...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Judge_Case_4(kp_id, origin_time, origin_flux, ...</code></td>
<td><code>def Judge_Case_4(kp_id, origin_time, origin_flux, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Judge_Case_5(kp_id, origin_time, origin_flux, ...</code></td>
<td><code>def Judge_Case_5(kp_id, origin_time, origin_flux, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def remove_truncation_part(origin_time, origin_flu...</code></td>
<td><code>def remove_truncation_part(origin_time, origin_flu...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/ValidatesimulatedLC.py</td>
<td><code>def get_fit(filepath):  with fits.open(filepath) a...</code></td>
<td><code>def get_fit(filepath):  with fits.open(filepath) a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td><code>class ExtranetModel(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/Net_config.py</td>
<td><code>def forward(self, x):  out_local = self.fc_local(x...</code></td>
<td><code>def forward(self, x):  out_local = self.fc_local(x...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td><code>def calculate_mean_variance(data):  import numpy a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def remove_outliers_step1(data, flux, sigma_thresh...</code></td>
<td><code>def remove_outliers_step1(data, flux, sigma_thresh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def calculate_bic(n, k, rss):  return n * np.log(r...</code></td>
<td><code>def calculate_bic(n, k, rss):  return n * np.log(r...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def spline_fit(times, values):  import numpy as np...</code></td>
<td><code>def spline_fit(times, values):  import numpy as np...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/pipeline.py</td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def spline_fit_1(times, values, k=3):  import nump...</code></td>
<td><code>def spline_fit(times, values, k=3):  import numpy ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td><code>def fit_func(coeff, x):  return np.polyval(coeff, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/LightCurvepipeline.py</td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td><code>def residuals(coeff, x, y):  return fit_func(coeff...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Amend_MergeAllTCEs.py /home/qtliu/why/function_config.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td><code>def remove3sigame(data):  std = np.nanstd(data)  m...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td><code>def intersection_of_ranges(range1, range2):  (star...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td><code>def get_duration_range(period):  rg1S_duration = p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td><code>def get_inclination(a, b):  return np.arccos(b / a...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td><code>def get_timeSeries(period):  return np.linspace(-p...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td><code>def CalculateNoise(dura, per, snr, depth):  noise ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters_Copy_1.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td><code>def sample_uniform_continuous(a, b):  Finds the se...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Filter_exoplanet_inHZ_AllMission_limiton.py /home/qtliu/why/function_config.py</td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td><code>def get_skiprows(filename):  with open(filename, &quot;...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td><code>  from pipeline import *  import numpy as np  from...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/b.py</td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td><code>def adjust_flux_with_mask(time, flux):  fit_values...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td><code>def remove_outliers_add_transit_mask(flux, sigma_t...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td><code>def remove_nan(time, flux):  import numpy as np  n...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td><code>def remove_down_2point(data, sigma_threshold=3):  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td><code>def remove_near_nan(data, rg=20):  nan_lst = np.wh...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td><code>def process_light_curve(time, flux):  min_interval...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Final_main(kp_id):  all_time = []  all_flux = ...</code></td>
<td><code>def Final_main(kp_id):  all_time = []  all_flux = ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td><code>def create_folder_if_not_exists(folder_path, first...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td><code>def GPUFold_Bin(origin_time, origin_flux, device='...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Load_SuperContras(device='cuda:0'):  save_path...</code></td>
<td><code>def Load_SuperContras(device='cuda:0'):  save_path...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td><code>def Inference_bySuperContras(binned_data, feature_...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td><code>def find_longest_sequence_of_ones(arr):  max_len =...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def remove_truncation_part(origin_time, origin_flu...</code></td>
<td><code>def remove_truncation_part(origin_time, origin_flu...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/work/DeepLearning_Trianing/D...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __init__(self, root_dir):  file_lst = os.listd...</code></td>
<td><code>def __init__(self, root_dir):  file_lst = os.listd...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td><code>def __len__(self):  return len(self.file_paths)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/test_net_config.py</td>
<td><code>class FeatureExtractor(nn.Module):...</code></td>
<td><code>class FeatureExtractor(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py /home/qtliu/why/training.py</td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td><code>def check_dir(path):  if not os.path.exists(path):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/trainingv3.py</td>
<td><code>class CNN(nn.Module):...</code></td>
<td><code>class CNN(nn.Module):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/trainingv3.py</td>
<td><code>def __init__(self):  super(CNN, self).__init__()  ...</code></td>
<td><code>def __init__(self):  super(CNN, self).__init__()  ...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/training.py</td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td><code>class LightCurveDataset(Dataset):...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/training.py</td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td><code>def __len__(self):  return len(self.data)...</code></td>
<td style="text-align:right"><strong>1.00</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize_data(all_data, real_data):  no...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Net_config.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize_data(all_data, real_data):  no...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_onlyglobal.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize_data(all_data, real_data):  no...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training_onlyglobal.py</td>
<td><code>def __init__(self, lambda_signal=4000.0, lambda_id...</code></td>
<td><code>def __init__(self, lambda_signal=1.0, lambda_id=1....</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_byglobal.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize_data(all_data, real_data):  no...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def Net2():  start = start_block2(3)  b2 = nn.Sequ...</code></td>
<td><code>def Net1():  start = start_block1(3)  b2 = nn.Sequ...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def mkfile(file):  if not os.path.exists(file):  o...</code></td>
<td><code>def mkfile(file):  if not os.path.exists(file):  o...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/function_config.py</td>
<td><code>def noise_normalize_data(all_data, real_data):  no...</code></td>
<td><code>def noise_normalize(all_data, real_data):  noise_l...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/aa.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/util.py /home/qtliu/why/base_vet.py</td>
<td><code>def bin_data(time, data, m):  import numpy as np  ...</code></td>
<td><code>def bin_data(time, data, m):  n = len(data)  if m ...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Cal_Exact_Duration(kp_id, possible_period, pos...</code></td>
<td><code>def Cal_Exact_Duration(kp_id, possible_period, pos...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Judge_Case_4(kp_id, origin_time, origin_flux, ...</code></td>
<td><code>def Judge_Case_4(kp_id, origin_time, origin_flux, ...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Judge_Case_5(kp_id, origin_time, origin_flux, ...</code></td>
<td><code>def Judge_Case_5(kp_id, origin_time, origin_flux, ...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td style="text-align:right"><strong>0.99</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td><code>def transit_model(*vars):  per, transit_time, rp, ...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_constrativeLearning_sample.py /home/qtliu/why/test_constrativeLearning_sample.py</td>
<td><code>def weighted_average(scores, window_size):  weight...</code></td>
<td><code>def weighted_average(scores, window_size):  weight...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def __init__(self,input_channels):  super().__init...</code></td>
<td><code>def __init__(self,input_channels):  super().__init...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def phase_fold_kernel(observed_data, observed_time...</code></td>
<td><code>def phase_fold_kernel(observed_data, observed_time...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/A.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def gpu_fold(final_time, final_flux, p_left=18, p_...</code></td>
<td><code>def gpu_fold(final_time, final_flux, p_left=18, p_...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/pipeline.py</td>
<td><code>def remove_outliers_step1(data, flux, sigma_thresh...</code></td>
<td><code>def remove_outliers_step1(data, flux, sigma_thresh...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/CalculateNoist.py /home/qtliu/why/Net_config.py</td>
<td><code>def normalize_data(data):  median = np.median(data...</code></td>
<td><code>def normalize_data(data):  median = np.nanmedian(d...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/MCMCBatman.py /home/qtliu/why/FitLCModel.py</td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td><code>def Detrending(kp_id, Save_Detrending_Fig=False, S...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_1971KOI.py</td>
<td><code>def Judge_Case1_Case2(score, kp_id, search_number,...</code></td>
<td><code>def Judge_Case1_Case2(score, kp_id, search_number,...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/own_utils.py /home/qtliu/why/Net_config.py</td>
<td><code>def normalize_data(data):  median = np.median(data...</code></td>
<td><code>def normalize_data(data):  median = np.nanmedian(d...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/trainingv3.py</td>
<td><code>def forward(self, x_first, x_second):  x_first = s...</code></td>
<td><code>def forward(self, x_first, x_second):  x_first = s...</code></td>
<td style="text-align:right"><strong>0.98</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/pipeline.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def remove_outliers_add_transit_mask(flux, transit...</code></td>
<td><code>def remove_outliers_protect_transit(flux, transit_...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/training_in_fold_data.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>class start_block2(nn.Module):...</code></td>
<td><code>class start_block1(nn.Module):...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def __init__(self, input_channels, num_channels,en...</code></td>
<td><code>def __init__(self, input_channels, num_channels,en...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/DistributedParameters.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>  path = '/home/qtliu/work/SimulatedTransitData/' ...</code></td>
<td><code>  path = '/home/qtliu/SimulatedTransitData/'  All_...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/P2N_Ge.py /home/qtliu/why/N2N_Ge.py</td>
<td><code>  from function_config import *  period_interval =...</code></td>
<td><code>  from function_config import *  period_interval =...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td><code>def Judge_Case_3(kp_id, high_probabilitys, binned_...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/util.py /home/qtliu/why/base_vet.py</td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td><code>def Draw_Folded_Transit_Fig(kp_id, origin_time, or...</code></td>
<td style="text-align:right"><strong>0.97</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_constrativeLearning_sample.py /home/qtliu/why/cGPU_Bin_Norm.py</td>
<td><code>def cGpu_fold(final_time, final_flux, fold_trials,...</code></td>
<td><code>def cGpu_fold(final_time, final_flux, fold_trials,...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>class Residual2(nn.Module):...</code></td>
<td><code>class Residual1(nn.Module):...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>class end_block2(nn.Module):...</code></td>
<td><code>class end_block1(nn.Module):...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv3.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self, data_dir):  self.data_dir = dat...</code></td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/trainingv2.py /home/qtliu/why/training.py</td>
<td><code>def __init__(self, data_dir):  self.data_dir = dat...</code></td>
<td><code>def __init__(self, data_dir, transform=None):  sel...</code></td>
<td style="text-align:right"><strong>0.96</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Test.py /home/qtliu/why/Test.py</td>
<td><code>def forward(self, X):  Y = self.cbam(X)  Y = F.rel...</code></td>
<td><code>def forward(self, X):  Y = F.relu(self.bn1(self.co...</code></td>
<td style="text-align:right"><strong>0.95</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/test_net_config.py</td>
<td><code>def forward(self, x):  x = self.fc_global(x)  x = ...</code></td>
<td><code>def forward(self, x):  x = self.fc_global(x)  x = ...</code></td>
<td style="text-align:right"><strong>0.95</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura, All_Points_...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/function_config_elder.py /home/qtliu/why/DistributedParameters_Copy_4.py</td>
<td><code>def CalculateSNR(lc, noise, per, dura, All_Points_...</code></td>
<td><code>def CalculateSNR(lc, noise, per, dura):  depth = 1...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold_only_globalview.py /home/qtliu/why/Net_config.py</td>
<td><code>def forward(self, x):  out_global = self.fc_global...</code></td>
<td><code>def forward(self, x):  out_local = self.fc_local(x...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GPU_Phased_Fold.py /home/qtliu/why/function_config.py</td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td><code>def binning_data(data, bin_size):  data = np.array...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_net_config.py /home/qtliu/why/Net_config.py</td>
<td><code>def forward(self, x):  out_global = self.fc_global...</code></td>
<td><code>def forward(self, x):  out_local = self.fc_local(x...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_PipeLine_AllProcess.py /home/qtliu/why/AutoSearch_AddRule.py</td>
<td><code>def Judge_Case1_Case2(score, kp_id, search_number,...</code></td>
<td><code>def Judge_Case1_Case2(score, kp_id, Save_ScoreDiag...</code></td>
<td style="text-align:right"><strong>0.94</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/GTLS_test_confirmedexo.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.93</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_SuperContras_part.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.93</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/PreProcessData.py /home/qtliu/why/FITLCbyGrid.py</td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td><code>  path = &quot;/home/qtliu/FitTransit_ofHZexoplanet/Dat...</code></td>
<td style="text-align:right"><strong>0.93</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/test_abnormal.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.93</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/GPU_Phased_Fold_only_globalview.py</td>
<td><code>def __init__(self):  super(FeatureExtractor, self)...</code></td>
<td><code>def __init__(self):  super(ExtranetModel, self).__...</code></td>
<td style="text-align:right"><strong>0.93</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_AddRule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Net_config.py /home/qtliu/why/training.py</td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td><code>  path = '/home/qtliu/DeepLearning_Trianing/Data/'...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/AutoSearch_1971KOI.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def Final_main(kp_id):  all_time = []  all_flux = ...</code></td>
<td><code>def Final_main(kp_id, remove_candidate=False, remo...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/e.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td><code>def pipeline(fits_file, kp_id):  from astropy.io i...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Rule.py /home/qtliu/why/DetrendCode.py</td>
<td><code>def Final_main(kp_id):  all_time = []  all_flux = ...</code></td>
<td><code>def Final_main(kp_id, remove_candidate=False, remo...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
<tr>
<td>/home/qtliu/why/Constrative_learning.py /home/qtliu/why/Constrative_learning.py</td>
<td><code>def __init__(self):  super(ContrastiveHead, self)....</code></td>
<td><code>def __init__(self):  super(ClassifierHead, self)._...</code></td>
<td style="text-align:right"><strong>0.92</strong></td>
</tr>
</tbody>
</table>

            
            
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